DGP: Discrete Generalized Pareto Distribution

In ebalderama/ZimulatE: Simulates Zero-Inflated, Hurdle, and Double-Hurdle Models

Description

Density, distribution function, quantile function and random generation for the discrete generalized Pareto distribution with parameters mu, scale, and shape.

Usage

ddgp(x, mu = 0, scale = 1, shape = 1)

pdgp(q, mu = 0, scale = 1, shape = 1, lower.tail = TRUE, log.p = FALSE)

qdgp(p, mu = 0, scale = 1, shape = 1, lower.tail = TRUE, log.p = FALSE)

rdgp(n, mu = 0, scale = 1, shape = 1)

Arguments

x, q	vector of quantiles
mu	location parameter
scale	scale parameter
shape	shape parameter
lower.tail	logical; if TRUE (default), probabilities are P[X %leq x], otherwise, P[X > x].
p	vector of probabilities
n	number of observations
log, log.p	logical; if TRUE, probabilities p are given as log(p).

Value

ddgp gives the density, pdgp gives the distribution function, qdgp gives the quantile function, and rdgp generates random deviates.

ebalderama/ZimulatE documentation built on Dec. 20, 2021, 3:12 a.m.